Short Biography

Dr. Eugene Santos, Jr. (born 1968) received his Ph.D. ('92) in Computer Science from Brown University. He is currently Professor of Engineering at the Thayer School of Engineering at Dartmouth College. Dr. Santos’ work intersects the areas of information, cognition, human factors, and mathematics. His current focus is on dynamic human behavior, intent inferencing, and decision-making with an emphasis on learning nonlinear and emergent behaviors and decisions. He has also applied his work to a number of areas including cybersecurity – insider threat and deception detection, intelligence assessment, and adversarial course of action analysis. Dr. Santos has advised or served on US Department of Defense and Intelligence Community committees and working groups including Intelligence Science Board Forum on Understanding Hearts and Minds, Defense Science Board IED Task Force, Information Assurance at NSA, Behavior Analysis at Air War College, Cybersecurity for the Scientific and Technical Intelligence Committee as well as DARPA, AFOSR, ONR, ARO, and other federal agency technical groups. Dr. Santos was formerly Editor-in-Chief for the IEEE Transactions on Cybernetics (formerly IEEE Transactions on Systems, Man, and Cybernetics: Part B) from 2008-2013. He is a Fellow of the IEEE.



Academic Positions (Primary)

Recruiting for Doctoral Students (Starting Wi 2017)

I am seeking candidates with backgrounds in computer engineering, computer science, mathematics, or equivalent at the Bachelors or Masters level. Experience in software engineering, artificial intelligence, empirical studies, probability theory, statistics, and modeling and analyses are a plus though not required. Exceptional candidates will be provided funding covering both tuition and stipend based on research performance. If you are interested in applying, please email me your cv and an unofficial copy of your transcript both in pdf to me at eugene.santos.jr at


Selected Active Research Grants (FY 2015-2016)

Selected Publications by Recent Research Topics (as of FY 2015)

Behavior-Centric Security

Deception detection and insider threat

Attitudes and Cultural Modeling (Computational Social Science)

Decision Analytics

Computational opinions

Decision fusion and non-linear decision-making

Knowledge-driven learning and knowledge representation

Intelligence Analyses and Decision Support

User intent and user modeling

Text and data analytics

High-performance information retrieval and management

Optimization and uncertainty

Team decision-making

Complex adaptive systems

Selected and additional papers can be found for download on the main Distributed Information and Intelligence Analysis Group website:

Graduate Students Advised (Thesis work only)

Research Scientists and Postdoctoral Fellows (Past and Present)

Other Affiliations


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